AI Engineer (Agents)

About the role

Arondite builds foundational software that lets operators orchestrate platforms and capabilities and make mission-critical decisions faster, and is backed by Index Ventures. It is looking for AI Engineers to understand customers' problems and build AI solutions, including advanced agentic designs that deploy Large Language Models (LLMs) in highly controlled, compliant environments. Depending on expertise, you may also work on perception with object detection and multi-modal algorithms such as CLIP and CLAP.

Key responsibilities

• Build core agentic product features, research, plan, refine, execute and maintain them
• Integrate AI into the enterprise software product with other engineers
• Design end-to-end AI solutions from backend to user interface, deployed in cloud and on-premise environments
• Invent new capabilities and optimise existing approaches while considering ethical implications
• Document solutions to show compliance with safe-use policies
• Build secure, robust solutions following coding standards throughout development

Required profile

• MSc, MEng or equivalent in computer science, mathematics, AI, machine learning or a related engineering field
• 1 year of experience developing agentic AI in production-ready environments
• 3 years of hands-on experience with machine learning algorithms
• Ability to write clean, maintainable code
• Strong written and verbal communication skills
• Right to work in the UK at the time of application
• Security clearance or willingness to undergo UK security vetting to Security Check (SC) or above, which normally requires at least 5 years of continuous UK residency

Required skills

• Deep learning frameworks: PyTorch, JAX, TensorFlow
• Agentic orchestration tools: LangGraph, Google ADK
• Model Context Protocol tooling (RustMCP)
• Mathematical foundations of core ML algorithms
• Nice to have: PhD in ML, publications in top conferences, MLOps experience, experience with AI in regulated environments, and experience optimising AI models for resource-constrained hardware

What we offer

• Competitive base salary and generous equity via EMI share options
• 7% employer pension contribution
• Free daily meals in the office, private health and dental insurance, cycle to work scheme
• Relocation support and access to resources, equipment and training

The process is a CV submission, a 30-45 minute introductory Teams call, an in-person technical interview and a final interview with a Founder. The company prefers candidates who enjoy working in the office by default.